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Harnessing Artificial Intelligence for Risk Stratification and Outcome Prediction in Urologic Cancers: A Systematic Review
0
Zitationen
22
Autoren
2025
Jahr
Abstract
DP-AI biomarkers hold promise to improve treatment personalisation through integration into clinical practice. Prospective validation is now required.
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Autoren
- Navid Roessler
- Marcin Miszczyk
- Keiichiro Miyajima
- Alessandro Dematteis
- Ahmed R Alfarhan
- Angelo Cormio
- Abdulrahman Alqahtani
- Tamás Fazekas
- Victor M. Schuettfort
- Malte W. Vetterlein
- Yipeng Hu
- Veeru Kasivisvanathan
- Constantinos Zamboglou
- Michael Leapman
- Margit Fisch
- Markus Eckstein
- Mahul B. Amin
- Giovanni Cacciamani
- Liang Cheng
- Pierre I Karakiewicz
- Paweł Rajwa
- Shahrokh F. Shariat
Institutionen
- Universität Hamburg(DE)
- Comprehensive Cancer Center Vienna(AT)
- University Medical Center Hamburg-Eppendorf(DE)
- University Cancer Center Hamburg(DE)
- Jikei University School of Medicine(JP)
- Medical University of Vienna(AT)
- Marche Polytechnic University(IT)
- Azienda Ospedaliero Universitaria Ospedali Riuniti(IT)
- Ospedali Riuniti di Ancona(IT)
- University College London(GB)
- Yale University(US)
- Universitätsklinikum Erlangen(DE)
- Friedrich-Alexander-Universität Erlangen-Nürnberg(DE)
- University of Southern California(US)
- Université de Montréal(CA)